Grafana Labs
Grafana Labs helps users get the most out of Grafana, enabling them to take control of their unified monitoring and avoid vendor lock in and the spiraling costs of closed solutions.
- 203 updates · 30dTop focus: Support★ 4.5 G2
Grafana Labs
Honeycomb
Tracking Grafana Labs vs Honeycomb
246 updates from Grafana Labs and Honeycomb in the last 30 days. We read them all so you don't have to.
★★★★★4.5+ on G2✓ GDPR Compliant
Honeycomb
Honeycomb provides full stack observabilitydesigned for high cardinality data and collaborative problem solving, enabling engineers to deeply understand and debug production software together
- 43 updates · 30dTop focus: Other★ 4.6 G2
How do they compare?·AI summary
How do they compare?
Grafana Labs positions itself as a provider of open-source tools for unified monitoring, emphasizing flexibility, vendor independence, and cost control through its ecosystem of integrations and plugins. Honeycomb focuses on full-stack observability tailored for high-cardinality data, emphasizing collaborative debugging and deep insights into production systems. Grafana appeals to organizations seeking customizable, open solutions for monitoring and visualization, while Honeycomb targets engineering teams requiring specialized tools to analyze complex, high-variability data streams.
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TL;DR
Grafana Labs has shipped 203 updates in the last 30 days, focused on support. Grafana Labs has been notably more active than Honeycomb, which shipped 43. Both rank ★ 4.5+ on G2.
Activity Over Time
Weekly updates per vendor, last 12 weeks.
Where They're Investing
Page-type activity over the last 30 days. Brighter cells = more updates.
Grafana LabsHoneycombSupport
Other
Product
Event
Blog
Changelog
Case Study
Last 14 days·AI summary
Recent activity summary for Grafana Labs and Honeycomb
Grafana Labs demonstrated significant activity, focusing heavily on expanding its AI observability capabilities through the release of the Grafana Agent Observability GA and the Open Source Grafana AI SDK for Go. Their updates also included security patches for SAML and SQL data source vulnerabilities, alongside several case studies and event announcements. In contrast, Honeycomb’s activity was more specialized, centered on releasing an open-source incident response card game, donating adaptive tail sampling technology to OpenTelemetry, and showcasing AI-native observability features for generative AI agents. While Grafana Labs focused on broad platform scaling and security, Honeycomb emphasized community engagement and specific observability patterns for non-deterministic AI workloads.
Recent Activity
Last updates we detected for each vendor.
Grafana Labs
5 updates- Case StudyLinkedIn Post
Grafana Labs shared a case study detailing how MIT Open Learning uses Grafana Cloud to scale their platform and improve developer self-service through advanced observability techniques.
- ChangelogSynthetic Monitoring custom labels: label_ prefix removed, labels attach to all check telemetry
Grafana Labs is removing the 'label_' prefix from Synthetic Monitoring custom labels and attaching them to all check telemetry, including logs. This migration simplifies data attribution and dashboard filtering across Grafana Cloud.
- Case StudyHow Conveo gave every engineer the power to investigate their own issues with Grafana Assistant
Grafana Labs showcases how Conveo uses Grafana Cloud and Grafana Assistant to scale observability during rapid company growth. The case study highlights how AI-driven querying allows engineers to investigate issues without mastering complex
- SupportInstrument and send data to Grafana Cloud | Grafana Cloud documentation
Grafana Labs details the various methods for instrumenting and sending metrics, logs, and traces to Grafana Cloud. The documentation covers the use of Grafana Alloy and provides instructions for secure, private connectivity through major cl
- ChangelogCustom labels in Grafana Cloud Synthetic Monitoring: New updates for consistency and ease-of-use
Grafana Labs is rolling out an update to Synthetic Monitoring that allows custom labels to attach directly to check metrics and logs. This change eliminates the need for complex joins and ensures label consistency across the Grafana Cloud p
Honeycomb
5 updates- BlogLinkedIn Post
Honeycomb published the final installment of a three-part series regarding the company's norms and values concerning AI usage. The post explores ethical considerations like IP, bias, and energy use, while discussing the concept of ownership
- EventLinkedIn Post
Honeycomb hosted an evening event in San Francisco for customers and practitioners to engage in honest, unfiltered conversations about observability.
- OtherLinkedIn Post
Honeycomb amplified a post by Martin Thwaites discussing an upcoming keynote by Sam Newman at the O11yday event in London.
- Otherhttps://github.com/honeycombio/blast-radius
Honeycomb released blast-radius, an open-source card game that simulates the experience of being an on-call engineer managing system outages. The project uses a lightweight serverless architecture to provide an interactive way for developer
- BlogAI Norms & Values, Part 3 of 3: Things We Hold True
Honeycomb publishes the final part of its series on AI norms and values, detailing how the company maintains accountability and human intent when using AI. The post emphasizes that AI is a tool to amplify rigor and depth rather than a repla
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